Predefined roles and permissions

This page provides information on Identity and Access Management (IAM) roles and permissions for BigQuery.

This page includes roles and permissions relevant to each of BigQuery's companion products:

• BigQuery ML
• BigQuery Data Transfer Service
• BigQuery BI Engine

For additional information on access controls in BigQuery ML, see Access control in the BigQuery ML documentation.

Overview

When an identity calls a Google Cloud API, BigQuery requires that the identity has the appropriate permissions to use the resource. You can grant permissions by granting roles to a user, a group, or a service account.

This page describes the BigQuery IAM roles that you can grant to identities to access BigQuery resources.

IAM role types

There are three types of roles in IAM:

• Predefined roles provide granular access for a specific service and are managed by Google Cloud. Predefined roles are meant to support common use cases and access control patterns.
• Custom roles provide granular access according to a user-specified list of permissions.

• Basic roles include the Owner, Editor, and Viewer roles.

  Caution: BigQuery's dataset-level basic roles existed prior to the introduction of IAM. We recommend that you minimize the use of basic roles. In production environments, don't grant basic roles unless there is no alternative.

To determine if one or more permissions are included in a basic, predefined, or custom role, you can use one of the following methods:

• The gcloud iam roles describe command
• The roles.get() method in the IAM API

When you assign both predefined and basic roles to a user, the permissions granted are a union of each role's permissions.

For additional information on using IAM to access resources, see Granting, changing, and revoking access to resources in the IAM documentation.

For information on creating custom roles, see Creating and managing custom roles in the IAM documentation.

BigQuery permissions and predefined IAM roles

To grant access to a BigQuery resource, assign one or more roles to a user, group, or service account. You can grant access at the following BigQuery resource levels:

• organization or Google Cloud project level
• dataset level
• table or view level

Roles applied at an organization or Cloud project level

When you assign roles at the organization and project level, you provide permission to run BigQuery jobs or to access all of a project's BigQuery resources.

Roles applied at a dataset level

You can assign roles at the dataset level to provide access to a specific dataset, without providing complete access to the project's resources. In the IAM policy hierarchy, BigQuery datasets are child resources of projects. For more information on assigning roles at the dataset level, see Controlling access to datasets.

Roles applied to individual resources within datasets

You can assign roles individually to certain types of resources within datasets, without providing complete access to the dataset's resources.

Roles can be applied to individual resources of the following types:

• tables
• views

Roles cannot be applied to individual resources of the following types:

• routines
• models

For more information on assigning roles at the table or view level, see Controlling access to tables or views.

BigQuery permissions

The following table describes the permissions available in BigQuery.

Permission	Description
bigquery.bireservations.get (beta)	Read BI Engine reservations.
bigquery.bireservations.update (beta)	Update BI Engine reservations.
bigquery.capacityCommitments.create	Create a capacity commitment in the project.
bigquery.capacityCommitments.delete	Delete a capacity commitment.
bigquery.capacityCommitments.get	Retrieve details about a capacity commitment.
bigquery.capacityCommitments.list	List all capacity commitments in a project.
bigquery.capacityCommitments.update	Update all capacity commitments in a project.
bigquery.connections.create	Create new connections in a project.
bigquery.connections.delete	Delete a connection.
bigquery.connections.get	Get connection metadata. Credentials are excluded.
bigquery.connections.list	List connections in a project.
bigquery.connections.update	Update a connection and its credentials.
bigquery.connections.updateTag	Update tags for a connection.
bigquery.connections.use	Use a connection configuration to connect to a remote data source.
bigquery.datasets.create	Create new empty datasets.
bigquery.datasets.delete	Delete a dataset.
bigquery.datasets.get	Get metadata about a dataset.
bigquery.datasets.getIamPolicy	Read a dataset's IAM permissions.
bigquery.datasets.setIamPolicy	Change a dataset's IAM permissions.
bigquery.datasets.update	Update metadata for a dataset.
bigquery.datasets.updateTag (beta)	Update tags for a dataset.
bigquery.jobs.create	Run jobs (including queries) within the project.
bigquery.jobs.get	Get data and metadata on any job.^1
bigquery.jobs.list	List all jobs and retrieve metadata on any job submitted by any user.^1 For jobs submitted by other users, details and metadata are redacted.
bigquery.jobs.listAll	List all jobs and retrieve metadata on any job submitted by any user.^1
bigquery.jobs.delete	Delete metadata for a job.
bigquery.jobs.update	Cancel any job.^1
bigquery.models.create	Create new models.
bigquery.models.delete	Delete models.
bigquery.models.getData	Get model data. To get model metadata, you need bigquery.models.getMetadata.
bigquery.models.getMetadata	Get model metadata. To get model data, you need bigquery.models.getData.
bigquery.models.list	List models and metadata on models.
bigquery.models.updateData	Update model data. To update model metadata, you need bigquery.models.updateMetadata.
bigquery.models.updateMetadata	Update model metadata. To update model data, you need bigquery.models.updateData.
bigquery.models.export	Export a model.
bigquery.readsessions.create	Create a new read session via the BigQuery Storage Read API.
bigquery.readsessions.getData	Read data from a read session via the Storage Read API.
bigquery.readsessions.update	Update a read session via the Storage Read API.
bigquery.reservations.create	Create a reservation in a project.
bigquery.reservations.delete	Delete a reservation.
bigquery.reservations.get	Retrieve details about a reservation.
bigquery.reservations.list	List all reservations in a project.
bigquery.reservations.update	Update a reservation's properties.
bigquery.reservationAssignments.create	Create a reservation assignment. This permission is required on the owner project and assignee resource. To move a reservation assignment, you need bigquery.reservationAssignments.create on the new owner project and assignee resource.
bigquery.reservationAssignments.delete	Delete a reservation assignment. This permission is required on the owner project and assignee resource. To move a reservation assignment, you need bigquery.reservationAssignments.delete on the old owner project and assignee resource.
bigquery.reservationAssignments.list	List all reservation assignments in a project.
bigquery.reservationAssignments.search	Search for a reservation assignment for a given project, folder, or organization.
bigquery.rowAccessPolicies.create	Create a new row-level access policy on a table.
bigquery.rowAccessPolicies.delete	Delete a row-level access policy from a table.
bigquery.rowAccessPolicies.getFilteredData	Gets data in a table that you want to be visible only to the principals in a row-level access policy's grantee list. We recommend this permission only be granted on a row-level access policy resource.
bigquery.rowAccessPolicies.list	List all row-level access policies on a table.
bigquery.rowAccessPolicies.getIamPolicy	Get a row access policy's IAM permissions.
bigquery.rowAccessPolicies.setIamPolicy	Set the row access policy's IAM permissions.
bigquery.rowAccessPolicies.update	Re-create a row-level access policy.
bigquery.routines.create	Create new routines (functions and stored procedures).
bigquery.routines.delete	Delete routines.
bigquery.routines.get	Get routine definitions and metadata.
bigquery.routines.list	List routines and metadata on routines.
bigquery.routines.update	Update routine definitions and metadata.
bigquery.routines.updateTag	Update tags for a routine.
bigquery.savedqueries.create	Create saved queries.
bigquery.savedqueries.delete	Delete saved queries.
bigquery.savedqueries.get	Get metadata on saved queries.
bigquery.savedqueries.list	List saved queries.
bigquery.savedqueries.update	Update saved queries.
bigquery.tables.create	Create new tables.
bigquery.tables.createSnapshot (Preview)	Create new table snapshots.
bigquery.tables.delete	Delete tables.
bigquery.tables.deleteSnapshot (Preview)	Delete table snapshots.
bigquery.tables.export	Export table data out of BigQuery.
bigquery.tables.get	Get table metadata. To get table data, you need bigquery.tables.getData.
bigquery.tables.getData	Get table data. This permission is required for querying table data. To get table metadata, you need bigquery.tables.get.
bigquery.tables.getIamPolicy	Read a table's IAM policy.
bigquery.tables.list	List tables and metadata on tables.
bigquery.tables.restoreSnapshot (Preview)	Restore table snapshots.
bigquery.tables.setCategory	Set policy tags in table schema.
bigquery.tables.setIamPolicy	Change a table's IAM policy.
bigquery.tables.update	Update table metadata. To update table data, you need bigquery.tables.updateData.
bigquery.tables.updateData	Update table data. To update table metadata, you need bigquery.tables.update.
bigquery.tables.updateTag (beta)	Update tags for a table.
bigquery.transfers.get	Get transfer metadata.
bigquery.transfers.update	Create, update, and delete transfers.

¹ For any job you create, you automatically have the equivalent of the bigquery.jobs.get and bigquery.jobs.update permissions for that job.

BigQuery predefined IAM roles

The following table lists the predefined BigQuery IAM roles with a corresponding list of all the permissions each role includes. Note that every permission is applicable to a particular resource type.

Role	Permissions
BigQuery Admin (roles/bigquery.admin) Provides permissions to manage all resources within the project. Can manage all data within the project, and can cancel jobs from other users running within the project. Lowest-level resources where you can grant this role: Project	bigquery.bireservations.* bigquery.capacityCommitments.* bigquery.config.* bigquery.connections.* bigquery.datasets.* bigquery.jobs.* bigquery.models.* bigquery.readsessions.* bigquery.reservationAssignments.* bigquery.reservations.* bigquery.routines.* bigquery.rowAccessPolicies.create bigquery.rowAccessPolicies.delete bigquery.rowAccessPolicies.getIamPolicy bigquery.rowAccessPolicies.list bigquery.rowAccessPolicies.setIamPolicy bigquery.rowAccessPolicies.update bigquery.savedqueries.* bigquery.tables.* bigquery.transfers.* resourcemanager.projects.get resourcemanager.projects.list
BigQuery Connection Admin (roles/bigquery.connectionAdmin)	bigquery.connections.*
BigQuery Connection User (roles/bigquery.connectionUser)	bigquery.connections.get bigquery.connections.getIamPolicy bigquery.connections.list bigquery.connections.use
BigQuery Data Editor (roles/bigquery.dataEditor) When applied to a table or view, this role provides permissions to: Read and update data and metadata for the table or view. Delete the table or view. This role cannot be applied to individual models or routines. When applied to a dataset, this role provides permissions to: Read the dataset's metadata and list tables in the dataset. Create, update, get, and delete the dataset's tables. When applied at the project or organization level, this role can also create new datasets. Lowest-level resources where you can grant this role: Table View	bigquery.datasets.create bigquery.datasets.get bigquery.datasets.getIamPolicy bigquery.datasets.updateTag bigquery.models.* bigquery.routines.* bigquery.tables.create bigquery.tables.createSnapshot bigquery.tables.delete bigquery.tables.export bigquery.tables.get bigquery.tables.getData bigquery.tables.getIamPolicy bigquery.tables.list bigquery.tables.restoreSnapshot bigquery.tables.update bigquery.tables.updateData bigquery.tables.updateTag resourcemanager.projects.get resourcemanager.projects.list
BigQuery Data Owner (roles/bigquery.dataOwner) When applied to a table or view, this role provides permissions to: Read and update data and metadata for the table or view. Share the table or view. Delete the table or view. This role cannot be applied to individual models or routines. When applied to a dataset, this role provides permissions to: Read, update, and delete the dataset. Create, update, get, and delete the dataset's tables. When applied at the project or organization level, this role can also create new datasets. Lowest-level resources where you can grant this role: Table View	bigquery.datasets.* bigquery.models.* bigquery.routines.* bigquery.rowAccessPolicies.create bigquery.rowAccessPolicies.delete bigquery.rowAccessPolicies.getIamPolicy bigquery.rowAccessPolicies.list bigquery.rowAccessPolicies.setIamPolicy bigquery.rowAccessPolicies.update bigquery.tables.* resourcemanager.projects.get resourcemanager.projects.list
BigQuery Data Viewer (roles/bigquery.dataViewer) When applied to a table or view, this role provides permissions to: Read data and metadata from the table or view. This role cannot be applied to individual models or routines. When applied to a dataset, this role provides permissions to: Read the dataset's metadata and list tables in the dataset. Read data and metadata from the dataset's tables. When applied at the project or organization level, this role can also enumerate all datasets in the project. Additional roles, however, are necessary to allow the running of jobs. Lowest-level resources where you can grant this role: Table View	bigquery.datasets.get bigquery.datasets.getIamPolicy bigquery.models.export bigquery.models.getData bigquery.models.getMetadata bigquery.models.list bigquery.routines.get bigquery.routines.list bigquery.tables.createSnapshot bigquery.tables.export bigquery.tables.get bigquery.tables.getData bigquery.tables.getIamPolicy bigquery.tables.list resourcemanager.projects.get resourcemanager.projects.list
BigQuery Filtered Data Viewer (roles/bigquery.filteredDataViewer) Access to view filtered table data defined by a row access policy	bigquery.rowAccessPolicies.getFilteredData
BigQuery Job User (roles/bigquery.jobUser) Provides permissions to run jobs, including queries, within the project. Lowest-level resources where you can grant this role: Project	bigquery.jobs.create resourcemanager.projects.get resourcemanager.projects.list
BigQuery Metadata Viewer (roles/bigquery.metadataViewer) When applied to a table or view, this role provides permissions to: Read metadata from the table or view. This role cannot be applied to individual models or routines. When applied to a dataset, this role provides permissions to: List tables and views in the dataset. Read metadata from the dataset's tables and views. When applied at the project or organization level, this role provides permissions to: List all datasets and read metadata for all datasets in the project. List all tables and views and read metadata for all tables and views in the project. Additional roles are necessary to allow the running of jobs. Lowest-level resources where you can grant this role: Table View	bigquery.datasets.get bigquery.datasets.getIamPolicy bigquery.models.getMetadata bigquery.models.list bigquery.routines.get bigquery.routines.list bigquery.tables.get bigquery.tables.getIamPolicy bigquery.tables.list resourcemanager.projects.get resourcemanager.projects.list
BigQuery Read Session User (roles/bigquery.readSessionUser) Access to create and use read sessions	bigquery.readsessions.* resourcemanager.projects.get resourcemanager.projects.list
BigQuery Resource Admin (roles/bigquery.resourceAdmin) Administer all BigQuery resources.	bigquery.bireservations.* bigquery.capacityCommitments.* bigquery.jobs.get bigquery.jobs.list bigquery.jobs.listAll bigquery.reservationAssignments.* bigquery.reservations.* resourcemanager.projects.get resourcemanager.projects.list
BigQuery Resource Editor (roles/bigquery.resourceEditor) Manage all BigQuery resources, but cannot make purchasing decisions.	bigquery.bireservations.get bigquery.capacityCommitments.get bigquery.capacityCommitments.list bigquery.jobs.get bigquery.jobs.list bigquery.jobs.listAll bigquery.reservationAssignments.* bigquery.reservations.* resourcemanager.projects.get resourcemanager.projects.list
BigQuery Resource Viewer (roles/bigquery.resourceViewer) View all BigQuery resources but cannot make changes or purchasing decisions.	bigquery.bireservations.get bigquery.capacityCommitments.get bigquery.capacityCommitments.list bigquery.jobs.get bigquery.jobs.list bigquery.jobs.listAll bigquery.reservationAssignments.list bigquery.reservationAssignments.search bigquery.reservations.get bigquery.reservations.list resourcemanager.projects.get resourcemanager.projects.list
BigQuery User (roles/bigquery.user) When applied to a dataset, this role provides the ability to read the dataset's metadata and list tables in the dataset. When applied to a project, this role also provides the ability to run jobs, including queries, within the project. A principal with this role can enumerate their own jobs, cancel their own jobs, and enumerate datasets within a project. Additionally, allows the creation of new datasets within the project; the creator is granted the BigQuery Data Owner role (roles/bigquery.dataOwner) on these new datasets. Lowest-level resources where you can grant this role: Dataset	bigquery.bireservations.get bigquery.capacityCommitments.get bigquery.capacityCommitments.list bigquery.config.get bigquery.datasets.create bigquery.datasets.get bigquery.datasets.getIamPolicy bigquery.jobs.create bigquery.jobs.list bigquery.models.list bigquery.readsessions.* bigquery.reservationAssignments.list bigquery.reservationAssignments.search bigquery.reservations.get bigquery.reservations.list bigquery.routines.list bigquery.savedqueries.get bigquery.savedqueries.list bigquery.tables.list bigquery.transfers.get resourcemanager.projects.get resourcemanager.projects.list

BigQuery basic roles

For information on BigQuery basic roles, see BigQuery basic roles and permissions.

BigQuery custom roles

To create a custom IAM role for BigQuery, follow the steps outlined in the IAM custom roles documentation.

What's next

• See the BigQuery access control examples.
• For information on BigQuery basic roles, see BigQuery basic roles and permissions.
• For more information about assigning roles at the dataset level, see Controlling access to datasets.
• For more information about assigning roles at the table or view level, see Controlling access to tables and views.